|Course Title||Knowledge Representation and Reasoning|
|Classes||3-6pm Wednesday TETB-G16|
|Consultations||Please request a time by email.|
|Units of Credit||6|
Knowledge Representation and Reasoning (KRR) is at the core of Artificial Intelligence. It is concerned with the representation of knowledge in symbolic form and the use of this knowledge for reasoning. This course presents current trends and research issues in Knowledge Representation and Reasoning (KRR). It enables students interested in Artificial Intelligence to deepen their knowledge in this important area and gives them a solid background for doing their own work/research in this area. The topics covered include: Commonsense reasoning, Description logics and ontologies, Answer set programming, Planning, Reasoning about action, Constraint programming.
This course can be a starting point for further exploration of artificial intelligence. Further courses include COMP3431/COMP9431 Robotic Software Architecture, COMP9417 Machine Learning and Data Mining, COMP9444 Neural Networks and COMP9844 Extended Neural Networks.handbook entry requires COMP3411 or COMP4415 as pre-requisite for this course. Students with a background in symbolic logic and/or artificial intelligence obtained by other means should contact the lecturer-in-charge to get a waiver for the pre-requisite.
COMP4418 is focussed on current trends and issues in Knowledge Representation and Reasoning. The intent of this course is to connect students to the topics through lecturers who know their subjects intimately, through continuing active use and research. To this end, there are a large number of lecturers, each with great expertise in the topics they present. The course is structured to keep related topics close together, and to develop some themes. Assessment is based around assignments, which supports "learning by doing".
As a result of this course, students will:
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In particular, students have the responsibility to observe standards of equity and respect in dealing with every member of the University community. This applies to all activities on UNSW premises and all external activities related to study and research. This includes behaviour in person as well as behaviour on social media, for example Facebook groups set up for the purpose of discussing UNSW courses or course work. Behaviour that is considered in breach of the Student Code Policy as discriminatory, sexually inappropriate, bullying, harassing, invading another's privacy or causing any person to fear for their personal safety is serious misconduct and can lead to severe penalties, including suspension or exclusion from UNSW.
Plagiarism is defined as using the words or ideas of others and presenting them as your own. UNSW and CSE treat plagiarism as academic misconduct, which means that it carries penalties as severe as being excluded from further study at UNSW. There are several on-line sources to help you understand what plagiarism is and how it is dealt with at UNSW:
Make sure that you read and understand these. Ignorance is not accepted as an excuse for plagiarism. In particular, you are also responsible that your assignment files are not accessible by anyone but you by setting the correct permissions in your CSE directory and code repository, if using. Note also that plagiarism includes paying or asking another person to do a piece of work for you and then submitting it as your own work.
UNSW has an ongoing commitment to fostering a culture of learning informed by academic integrity. All UNSW staff and students have a responsibility to adhere to this principle of academic integrity. Plagiarism undermines academic integrity and is not tolerated at UNSW. Plagiarism at UNSW is defined as using the words or ideas of others and passing them off as your own.
If you haven't done so yet, please take the time to read the full text of
The pages below describe the policies and procedures in more detail:
You should also read the following page which describes your rights and responsibilities in the CSE context:
Introduction to KRR, formal logic and reasoning, commonsense reasoning
|Assignment 2||Non-monotonic reasoning, reasoning about knowledge, reasoning about actions||Week 10||15%|
|Assignment 3||Planning, decision making||Week 13||15%|
|Final Exam||All topics||Exam period||55%|
|1||Introduction to KRR, Modelling||-||Maurice Pagnucco||-|
|2||Formal Logic and Reasoning||-||
Formal Logic and Reasoning
|5||No Lectures This Week||-||-||-|
|6||Non-Monotonic Reasoning||Assignment 1 Due||Christoph Schwering||-|
|7||Reasoning About Knowledge||-||
Reasoning About Knowledge
|9||Reasoning About Actions||-||
|10||Planning||Assignment 2 Due||Abdallah Saffidine||-|
||Assignment 3 Due||
This course does not have a prescribed textbook. Notes and/or slides on each topic will be made available on the class web page.
This course is evaluated each session using the myExperience system.
Student feedback will be obtained by electronic survey at the end of the course through myExperience . Students are also encouraged to provide informal feedback during the session, and to let the lecturer-in-charge know of any problems as soon as they arise.
Student feedback from the last offering indicated that students were satisfied with the course, but suggested to include more guidance to the programming languages in the lectures. We will endeavour to achieve that in this offering.
Resource created Tuesday 25 July 2017, 10:06:05 PM, last modified Thursday 28 September 2017, 02:09:08 PM.